How I Scaled a Web3 Ecosystem to 1.4 Million Users in 12 Months
A full breakdown of the community acquisition, retention, and growth loops we used to take G-Agents AI from near-zero to 1.4 million ecosystem users on the TON blockchain.
When I joined G-Agents AI (then Gamety) in May 2024, the TON blockchain ecosystem was heating up fast. The project had technology, but no audience. My job was to build the community infrastructure that would turn a product into an ecosystem.
The Foundation: Telegram First
In Web3, community lives on Telegram. We started by establishing a clear brand voice, not hype-driven, but education-forward. The first 30 days were entirely about content quality: AMAs, explainer threads, ecosystem updates, and honest roadmap discussions.
We built the Telegram group to 50K in the first two months. The playbook: consistent posting cadence (3–4 posts/day), fast response times to questions, weekly community calls, and zero tolerance for FUD that went unanswered.
The Zealy Campaigns That Changed Everything
We launched a Zealy (formerly Crew3) campaign structure that incentivised real behaviours: following the project, engaging with content, inviting friends, and completing on-chain tasks. The key insight was to make the tasks genuinely useful to users, not just hollow engagement farming.
A single sprint generated 29,000 new community members. That's not an accident. The task design, reward structure, and timing all worked together.
KOL Strategy: Quality Over Volume
Most Web3 projects throw money at large KOLs and hope the followers convert. We took a different approach, smaller, niche KOLs (10K–100K followers) with highly engaged crypto-native audiences. The CPM was higher but the conversion rates were 4–5x better.
The Discord Layer
Telegram drives acquisition. Discord drives retention. We built out Discord with role-based channels, on-chain verification, and an active moderation team. 45,000 Discord members in three months, with daily activity rates that outperformed most projects 10x our size.
Results and What I Would Do Differently
1.4 million ecosystem users. 401K Telegram members. 229K Twitter followers. 45K Discord. These are the numbers. What I would change: building the analytics dashboard earlier. We were tracking everything manually for the first two months, which slowed down iteration speed.
The lesson is simple: community growth in Web3 is not about spending more. It is about the system you build, the feedback loops, the incentive structures, and the quality of every single interaction your team has with potential users.